Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2018_000
id	caadria2018_000
authors	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year	2018
title	CAADRIA 2018: Learning, Prototyping and Adapting, Volume 1
doi	https://doi.org/10.52842/conf.caadria.2018.1
source	Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, 578 p.
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	caadria2018_001
id	caadria2018_001
authors	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year	2018
title	CAADRIA 2018: Learning, Prototyping and Adapting, Volume 2
doi	https://doi.org/10.52842/conf.caadria.2018.2
source	Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, 610 p.
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	caadria2018_302
id	caadria2018_302
authors	Lee, Alric, Tei, Hirokazu and Hotta, Kensuke
year	2018
title	Body-Borne Assistive Robots for Human-Dependent Precision Construction - The Compensation of Human Imprecision in Navigating 3-Dimensional Space with a Stand-Alone, Adaptive Robotic System
doi	https://doi.org/10.52842/conf.caadria.2018.1.545
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
summary	The rapid growth of complex contemporary architecture design, contributed by the advance in parametric CAD/CAM software, is accompanied by challenges in the production process; it demands both highly trained workers and technical equipments. This paper reviews current technologies in robotics-aided construction and wearable computers for generic purposes, and proposes the design of a robotic device for construction guidance. It guides the user, the worker, through the assembly process of precision modular constructions, by providing procedural mechanical or haptic assistance in the 3-dimensional positioning of building components. The device is designed to be wearable, portable, and operable as a completely stand-alone system that requires no external infrastructure. A prototype of the device is tested with a mock-up masonry construction experiment, the result of which is reported in this paper, along with discussion for future improvement and application opportunities within the context of highly developed, condensed Japanese urban environments. A greater objective of this paper is to bridge current studies in Human-Computer Interaction (HCI) and digital fabrication in architecture and promote the potentials of human workers in future construction scenes.
keywords	digital fabrication; human-computer interaction; 3d positioning; wearable robotics; guided construction
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 574-583.
summary	This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_262
id	caadria2021_262
authors	Olthof, Owen, Globa, Anastasia and Stracchi, Paolo
year	2021
title	SISTEMA NERVI - Sustainable Production of Optimised Floor Slabs Through Digital Fabrication
doi	https://doi.org/10.52842/conf.caadria.2021.1.723
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 723-732
summary	'Sistema Nervi' (the Nervi System) invented by Pier Luigi Nervi greatly economised the production of complex concrete forms optimised in both material usage and structurally. However it did not translate well into other contexts due to labour and material considerations (Leslie, 2018). This paper explores novel methodologies of producing optimised floor slabs and concrete structures, using digital fabrication techniques, focusing on both labour economisation and sustainability principles. A module from the Australia Square lobby slab has been used as the set geometry and was reproduced using differing techniques of fabrication for a comparative study. The study was conducted at scale (1:20). The viability for production at full scale (1:1) for manufacturing is discussed. The assessment criteria for the tests are divided into four categories: Cost, Time, Performance, and Sustainability. 3D printing of PLA plastic and ceramic clay extrusion printing has been used to produce removable or degradable formworks. These technologies have been selected due to their current market availability and associated costs. This study hopes to introduce improved methodologies for producing optimized concrete forms, as well as the sustainability potentials of a degradable formwork such as ceramic clay. Both systems were ultimately able to produce workable formworks for optimised shapes and showed promise for reducing labour involved as well as presenting with material sustainability for discussion.
keywords	Concrete formwork; Sustainability; Degradable formwork; Optimised concrete; Advanced fabrication
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	acadia18_98
id	acadia18_98
authors	Fox, Michael; Schulitz, Marc; Gershfeld, Mikhail; Cohen, Marc
year	2018
title	Full Integration: Closing the Gap on Technology Readiness
doi	https://doi.org/10.52842/conf.acadia.2018.098
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 98-107
summary	This paper discusses the authors’ experiences and lessons learned through designing and constructing small- and large-scale robotic prototypes and the fully integrated use of VR and AR for design. Also of focus here are the methodological tools utilized to implement this student-led research in an interdisciplinary educational environment, as well as the design explorations of Mars habitation systems. Through the systems engineering approach, students will generate ideas that may or may not make it to the final design development stage, but may potentially be valuable to future real exploration habitats and mission architectures. The final prototype allows an assessment of the focus parameters, which are the vessels’ transformation capacities and layout adaption. The design objective of this project is to examine strategies for commonality between an interplanetary vehicle (IPV) and a Mars surface habitat. The presented design proposals address this challenge to create a common habitation system in both habitats so that crew members will be familiar with the layout, function, and location throughout the expedition. The design tools operate at the intersection of architectural layout design, mechanics, and structural design, and use origami folding techniques and structural form-finding concepts to generate shell action rigidity. In addition, the project develops a strategy for mobility and transformation of the surface habitat prior to its transformed configuration. The value here lies in understanding lessons from this strategy for both the design process as well as efficiency and optimization in design as a model for terrestrial design.
keywords	full paper, bim, flexible structures, performance + simulation, representation + perception, building technologies, vr/ar/mr
series	ACADIA
type	paper
email
last changed	2022/06/07 07:50

_id	acadia18_232
id	acadia18_232
authors	Kilian, Axel
year	2018
title	The Flexing Room Architectural Robot. An Actuated Active-Bending Robotic Structure using Human Feedback
doi	https://doi.org/10.52842/conf.acadia.2018.232
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 232-241
summary	Advances in autonomous control of object-scale robots, both anthropomorphic and vehicular, are posing new human–machine interface challenges. In architecture, very few examples of autonomous inhabitable robotic architecture exist. A number of factors likely contribute to this condition, among them the scale and cost of architectural adaptive systems, but on a more fundamental conceptual level also the questions of how architectural robots would communicate with their human inhabitants. The Flexing Room installation is a room-sized actuated active-bending skeleton structure. It uses rudimentary social feedback by counting people to inform its behavior in the form of actuated poses of the room enclosure. An operational full-scale prototype was constructed and tested. To operate it no geometric-based simulation was used; the only communication between computer and structure was in sending values for the air pressure settings and in gathering sensor feedback. The structure’s physical state was resolved through the embodied computation of its interconnected parts, and the people-counting sensor feedback influences its next action. Future work will explore the development of learning processes to improve the human–machine coexistence in space.
keywords	full paper, fabrication & robotics, non-production robotics, materials/adaptive systems, flexible structures
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	acadia18_312
id	acadia18_312
authors	Ariza, Inés; Mirjan, Ammar; Gandia, Augusto; Casas, Gonzalo; Cros, Samuel; Gramazio, Fabio; Kohler, Matthias.
year	2018
title	In Place Detailing. Combining 3D printing and robotic assembly
doi	https://doi.org/10.52842/conf.acadia.2018.312
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 312-321
summary	This research presents a novel construction method that links robotic assembly and in place 3D printing. Rather than producing custom joints in a separate prefabrication process, our approach enables creating highly customized connection details that are 3D printed directly onto off-the-shelf building members during their assembly process. Challenging the current fashion of highly predetermined joints in digital construction, detailing in place offers an adaptive fabrication method, enabling the expressive tailoring of connection details addressing its specific architectural conditions. In the present research, the in place detailing strategy is explored through robotic wire arc additive manufacturing (WAAM), a metal 3D printing technique based on MIG welding. The robotic WAAM process coupled with localization and path-planning strategies allows a local control of the detail geometry enabling the fabrication of customized welded connections that can compensate material and construction tolerances. The paper outlines the potential of 3D printing in place details, describes methods and techniques to realize them and shows experimental results that validate the approach.
keywords	work in progress, fabrication & robotics, robotic production, materials/adaptive systems, architectural detailing
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	sigradi2018_1322
id	sigradi2018_1322
authors	Pereira Stehling, Miguel; Coeli Ruschel, Regina
year	2018
title	Proposal of a Process of Mass Customization of Kitchen Cabinetry
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 397-407
summary	Digital Fabrication has been widely used for the production of standardized building components, but not so in the engineered-to-order fabrication strategy, a system in which the customer’s needs are fulfilled in the design stage. Mass Customization meets the demands of a customer at a cost near that of Mass Production. This study presents the current stage of an Action Research dealing with Mass Customization, design and BIM adoption challenges, proposing the adoption of BIM aiming Mass Customization at engineered-to-order systems for Small and Medium Enterprises. It uses Web-based User Interface and Revit and Dynamo models exported to Computer Numerical Control machines.
keywords	Mass customization; Engineered-to-order; Digital fabrication; Prefabrication; BIM
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	acadia18_350
id	acadia18_350
authors	Seibold, Zach; Hinz, Kevin; García del Castillo y López, Jose Luis; Martínez Alonso, Nono; Mhatre, Saurabh; Bechthold, Martin
year	2018
title	Ceramic Morphologies. Precision and control in paste-based additive manufacturing
doi	https://doi.org/10.52842/conf.acadia.2018.350
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 350-357
summary	Additive manufacturing techniques (AMT), commonly referred to as 3D printing, are emerging as a new area of study for the production of ceramic elements at the architectural scale. AMT may allow architectural designers to break from the established means of designing with ceramic elements – a process where designs are typically confined to a limited selection of building components produced by machine, die or fixture. In this paper, we report a method for the design and additive manufacture of customizable ceramic masonry elements via paste-based extrusion. A novel digital workflow allowed for precise control of part design, and generated manufacturing parameters such as toolpath geometry and machine code. 3D scans of a selection of elements provide an initial analysis of print fidelity. We discuss the current constraints of this process and identify several on-going research trajectories generated because of this research.
keywords	work in progress, fabrication & robotics, materials/adaptive systems, digital fabrication, digital craft
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	acadia18_82
id	acadia18_82
authors	Sun, Chengyu; Zheng, Zhaohua; Sun, Tongyu
year	2018
title	Hybrid Fabrication. A free-form building process with high on-site flexibility and acceptable accumulative error
doi	https://doi.org/10.52842/conf.acadia.2018.082
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 82-87
summary	Although digital fabrication has a booming development in the building industry, especially in freeform building, its further application in onsite operations is still limited because of the huge flexibility required in programming. On the contrary, traditional manual fabrication onsite deals perfectly with problems that always accompany fatal accumulative errors in freeform building. This study explores a hybrid fabrication paradigm to take advantage of both in an onsite freeform building project, in which there is a cycling human–computer interactive process consisting of manual operation and computer guidance in real time. A Hololens-Kinect system in a framework of typical project camera systems is used in the demonstration. When human builders perceive, decide, and operate the irregular foam bricks in a complex onsite environment, the computer keeps updating the current form through 3D scanning and prompting the position and orientation of the next brick through augmented display. From a starting vault, the computer always fine tunes its control surface according to the gradually installed bricks and keeps following a catenary formula. Thus, the hybrid fabrication actually benefits from the flexibility based on human judgment and operation, and an acceptable level of accumulative error can be handled through computer guidance concerning the structural performance and formal accuracy.
keywords	work in progress, vr/ar/mr, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	ijac201816202
id	ijac201816202
authors	Tamke, Martin; Paul Nicholas and Mateusz Zwierzycki
year	2018
title	Machine learning for architectural design: Practices and infrastructure
source	International Journal of Architectural Computing vol. 16 - no. 2, 123-143
summary	In this article, we propose that new architectural design practices might be based on machine learning approaches to better leverage data-rich environments and workflows. Through reference to recent architectural research, we describe how the application of machine learning can occur throughout the design and fabrication process, to develop varied relations between design, performance and learning. The impact of machine learning on architectural practices with performance-based design and fabrication is assessed in two cases by the authors. We then summarise what we perceive as current limits to a more widespread application and conclude by providing an outlook and direction for future research for machine learning in architectural design practice.
keywords	Machine learning, robotic fabrication, design-integrated simulation, material behaviour, feedback, Complex Modelling
series	journal
email
last changed	2019/08/07 14:03

_id	cdrf2021_286
id	cdrf2021_286
authors	Yimeng Wei, Areti Markopoulou, Yuanshuang Zhu,Eduardo Chamorro Martin, and Nikol Kirova
year	2021
title	Additive Manufacture of Cellulose Based Bio-Material on Architectural Scale
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	There are severe environmental and ecological issues once we evaluate the architecture industry with LCA (Life Cycle Assessment), such as emission of CO2 caused by necessary high temperature for producing cement and significant amounts of Construction Demolition Waste (CDW) in deteriorated and obsolete buildings. One of the ways to solve these problems is Bio-Material. CELLULOSE and CHITON is the 1st and 2nd abundant substance in nature (Duro-Royo, J.: Aguahoja_ProgrammableWater-based Biocomposites for Digital Design and Fabrication across Scales. MIT, pp. 1–3 (2019)), which means significantly potential for architectural dimension production. Meanwhile, renewability and biodegradability make it more conducive to the current problem of construction pollution. The purpose of this study is to explore Cellulose Based Biomaterial and bring it into architectural scale additive manufacture that engages with performance in the material development, with respect to time of solidification and control of shrinkage, as well as offering mechanical strength. At present, the experiments have proved the possibility of developing a cellulose-chitosan- based composite into 3D-Printing Construction Material (Sanandiya, N.D., Vijay, Y., Dimopoulou, M., Dritsas, S., Fernandez, J.G.: Large-scale additive manufacturing with bioinspired cellulosic materials. Sci. Rep. 8(1), 1–5 (2018)). Moreover, The research shows that the characteristics (Such as waterproof, bending, compression, tensile, transparency) of the composite can be enhanced by different additives (such as xanthan gum, paper fiber, flour), which means it can be customized into various architectural components based on Performance Directional Optimization. This solution has a positive effect on environmental impact reduction and is of great significance in putting the architectural construction industry into a more environment-friendly and smart state.
series	cdrf
email
last changed	2022/09/29 07:53

_id	acadia18_196
id	acadia18_196
authors	Zhang, Yan; Grignard; Aubuchon, Alexander; Lyons, Keven; Larson, Kent
year	2018
title	Machine Learning for Real-time Urban Metrics and Design Recommendations
doi	https://doi.org/10.52842/conf.acadia.2018.196
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 196-205
summary	Cities are growing, becoming more complex, and changing rapidly. Currently, community engagement for urban decision-making is often ineffective, uninformed, and only occurs in projects’ later stages. To facilitate a more collaborative and evidence-based urban decision- making process for both experts and non-experts, real-time feedback and optimized suggestions are essential. However, most of the current tools for urban planning are neither capable of performing complex simulations in real time nor of providing guidance for better urban performance. CityMatrix was introduced to address these challenges. Machine learning techniques were applied to achieve real-time prediction of multiple urban simulations, and thousands of city configurations were simulated. The simulation results were used to train a convolutional neural network (CNN) to predict the traffic and solar performance of unseen city configurations. The prediction with the CNN is thousands of times faster than the original simulations and maintains a high-quality representation of the results. This machine learning approach was applied as a versatile, quick, accurate, and computationally efficient method not only for real-time feedback, but also for optimized design recommendations. Users involved in the evaluation of this project had a better understanding of the embodied trade-offs of the city and achieved their goals in an efficient manner.
keywords	full paper, optimization, collaboration, urban design & analysis, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	caadria2018_029
id	caadria2018_029
authors	Ayoub, Mohammed
year	2018
title	Adaptive Façades:An Evaluation of Cellular Automata Controlled Dynamic Shading System Using New Hourly-Based Metrics
doi	https://doi.org/10.52842/conf.caadria.2018.2.083
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 83-92
summary	This research explores utilizing Cellular Automata patterns as climate-adaptive dynamic shading systems to mitigate the undesirable impacts by excessive solar penetration in cooling-dominant climates. The methodological procedure is realized through two main phases. The first evaluates all 256 Elementary Cellular Automata possible rules to elect the ones with good visual and random patterns, to ensure an equitable distribution of the natural daylight in internal spaces. Based on the newly developed hourly-based metrics, simulations are conducted in the second phase to evaluate the Cellular Automata controlled dynamic shadings performance, and formalize the adaptive façade variation logic that maximizes daylighting and minimizes energy demand.
keywords	Adaptive Façade; Dynamic Shading; Cellular Automata; Hourly-Based Metric; Performance Evaluation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia18_366
id	acadia18_366
authors	Baseta, Efilena; Bollinger, Klaus
year	2018
title	Construction System for Reversible Self-Formation of Grid Shells. Correspondence between physical and digital form
doi	https://doi.org/10.52842/conf.acadia.2018.366
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 366-375
summary	This paper presents a construction system which offers an efficient materialization method for double-curved gridshells. This results in an active-bending system of controlled deflections. The latter system embeds its construction manual into the geometry of its components. Thus it can be used as a self-formation process. The two presented gridshell structures are composed of geometry-induced, variable stiffness elements. The latter elements are able to form programmed shapes passively when gravitational loads are applied. Each element consists of two layers and a slip zone between them. The slip allows the element to be flexible when it is straight and increasingly stiffer while its curvature increases. The amplitude of the slip defines the final deformation of the element. As a result, non-uniform deformations can be obtained with uniform cross sections and loads. When the latter elements are used in grid configurations, self-formation of initially planar surfaces emerges. The presented system eliminates the need for electromechanical equipment since it relies on material properties and hierarchical geometrical configurations. Wood, as a flexible and strong material, has been used for the construction of the prototypes. The fabrication of the timber laths has been done via CNC industrial milling processes. The comparison between the initial digital design and the resulting geometry of the physical prototypes is reviewed in this paper. The aim is to inform the design and fabrication process with performance data extracted from the prototypes. Finally, the scalability of the system shows its potential for large-scale applications, such as transformable structures.
keywords	full paper, material & adaptive systems, flexible structures, digital fabrication, self-formation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia18_244
id	acadia18_244
authors	Belanger, Zackery; McGee, Wes; Newell, Catie
year	2018
title	Slumped Glass: Auxetics and Acoustics
doi	https://doi.org/10.52842/conf.acadia.2018.244
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 244-249
summary	This research investigates the effect of curvature, at a variety of scales, on the acoustic properties of glass. Plate glass, which has predictable and uniform acoustically reflective behavior, can be formed into curved surfaces through a combination of parametrically-driven auxetic pattern generation, CNC water-jet cutting, and controlled heat forming. When curved, plate glass becomes “activated” and complex acoustically-diffusive behavior emerges. The parametrically-driven auxetic perforation pattern allows the curvature to be altered and controlled across a formed pane of glass, and a correlation is demonstrated between the level of curvature and the extent of acoustically diffusive behavior. Beyond individual panels, curved panes can be aggregated to extend acoustic influence to the entire interior room condition, and the pace at which acoustic energy is distributed can be controlled. In this work the parameters surrounding the controlled slumping of glass are described, and room-sized formal and acoustic effects are studied using wave-based acoustic simulation techniques. This paper discusses the early stages of work in progress.
keywords	work in progress, materials and adaptive systems, performance and simulation, digital fabrication
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2018_329
id	ecaade2018_329
authors	De Luca, Francesco, Nejur, Andrei and Dogan, Timur
year	2018
title	Facade-Floor-Cluster - Methodology for Determining Optimal Building Clusters for Solar Access and Floor Plan Layout in Urban Environments
doi	https://doi.org/10.52842/conf.ecaade.2018.2.585
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 585-594
summary	Daylight standards are one of the main factors for the shape and image of cities. With urbanization and ongoing densification of cities, new planning regulations are emerging in order to manage access to sun light. In Estonia a daylight standard defines the rights of light for existing buildings and the direct solar access requirement for new premises. The solar envelope method and environmental simulations to compute direct sun light hours on building façades can be used to design buildings that respect both daylight requirements. However, no existing tool integrates both methods in an easy to use manner. Further, the assessment of façade performance needs to be related to the design of interior layouts and of building clusters to be meaningful to architects. Hence, the present work presents a computational design workflow for the evaluation and optimisation of high density building clusters in urban environments in relation to direct solar access requirements and selected types of floor plans.
keywords	Performance-driven Design; Urban Design; Direct Solar Access; Environmental Simulations and Evaluations; Parametric Modelling
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia18_336
id	acadia18_336
authors	Forren, James; Nicholas, Claire
year	2018
title	Lap, Twist, Knot. Intentionality in digital-analogue making environments
doi	https://doi.org/10.52842/conf.acadia.2018.336
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 336-341
summary	This paper discusses a theoretical approach and method of making in computational design and construction. The project examines digital and analogue building practices through a social anthropological and STS lens to better understand the use of technology in complex making environments. We position this with respect to contemporary investigations of materials in architecture which use physical and virtual prototyping and collaborative building. Our investigation extends this work by parsing complex making through ethnographic analysis. In doing so we seek to recalibrate computational design methods which privilege rote execution of digital form. This inquiry challenges ideas of agency and intention as ‘enabled’ by new technologies or materials. Rather, we investigate the troubling (as well as extension) of explicit designer intentions by the tacit intentions of technologies. Our approach is a trans-disciplinary investigation synthesizing architectural making and ethnographic analysis. We draw on humanistic and social science theories which examine activities of human-technology exchange and architectural practices of algorithmic design and fabrication. We investigate experimental design processes through prototyping architectural components and assemblies. These activities are examined by collecting data on human-technology interactions through field notes, journals, sketches, and video recordings. Our goal is to foster (and acknowledge) more complex, socially constructed methods of design and fabrication. This work in progress, using a cement composite fabric, is a preliminary study for a larger project looking at complex making in coordination with public engagement.
keywords	work in progress, illusory dichotomies, design theory & history, materials/adaptive systems, collaboration, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	acadia18_126
id	acadia18_126
authors	Johns, Ryan Luke; Anderson, Jeffrey
year	2018
title	Interfaces for Adaptive Assembly
doi	https://doi.org/10.52842/conf.acadia.2018.126
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 126-135
summary	While robotic tools have greatly expanded the scope of computational control and design freedom in architectural assembly, the vast majority of projects involving robotic customization depend on standardized, mass produced components. By relinquishing some design agency to automated systems which respond to on-site material variations, it is possible to produce methods of construction which rely on locally-sourced components with low embodied energy. Such adaptive automation can provide resource efficiency and the aesthetic advantages of natural or reclaimed materials, but can also beget technical challenges of increasing complexity. By expanding design goals to incorporate intuitive collaborative interfaces, technical gaps can be understood even by non-experts, and leveraged towards new forms of creative expression. This paper presents the results of an interactive installation in which visitors can provide any variety of objects to a collaborative robotic manipulator (UR5) which recognizes part geometry and attempts to construct a dry-stacked wall from the material offerings. A visual and auditory interface provides suggestions and error messages to participants to facilitate an understanding of the acceptable material morphologies which can be used within the constraints of the system.
keywords	full paper, materials & adaptive systems, non-production robotics, digital materials, representation + perception
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

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